AI Engineer

About the Role

As an AI Engineer at XHawk.ai, you will be part of the early team responsible for architecting and building the core engine of the company's infrastructure. This involves designing and implementing distributed systems that can handle millions of agentic jobs every day, ensuring seamless execution and collaboration between humans and AI agents.

Key Responsibilities

• Design and develop scalable distributed systems to run millions of agentic jobs daily
• Build and maintain APIs and headless platforms for efficient data exchange
• Collaborate with the team to architect and implement cloud-based infrastructure, including VMs, containers, and sandboxes
• Develop and integrate Large Language Models (LLMs) with various cloud stacks and programming languages
• Work on complex technical challenges in distributed systems, ensuring high scalability and reliability
• Contribute to the development of systems that can span multiple clouds and geographies
• Participate in code reviews and ensure high-quality codebase

Skills & Qualifications

• Proficiency in programming languages: Python, Go, Typescript, and experience with LLMs (OpenAI, Anthropic, OpenCode, Hermes, Gemini, etc.)
• Experience with cloud infrastructure, including VMs, containers, and sandboxes
• Understanding of distributed systems, APIs, and headless platforms
• Knowledge of cloud stacks, including AWS, GCP, or Azure
• Bachelor's or Master's degree in Computer Science or related field
• Familiarity with Agile development methodologies and version control systems (e.g., Git)

What You'll Learn

As an AI Engineer at XHawk.ai, you will gain hands-on experience in designing and implementing distributed systems, working with LLMs, and developing scalable cloud-based infrastructure. You will also learn about the challenges of context windows and agentic loops, and how to build systems that can run across hundreds of nodes and handle millions of API calls and jobs every day.

Resume Tip

When applying for this role, make sure to highlight your experience with LLMs, cloud infrastructure, and distributed systems. Emphasize your ability to work with multiple programming languages and cloud stacks, and provide specific examples of your contributions to high-scale systems. Additionally, be prepared to discuss your understanding of context windows and agentic loops, and how you would approach building systems that can handle complex technical challenges.